This data resource includes marsh vegetation, water level data and modeling outputs from a project that examined how Piermont Marsh in New York buffers the impacts of storms.
Resources
Resources
A repository of data, publications, tools, and other products from project teams, Science Collaborative program, and partners.
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This resource contains the presenter slides, Q&A responses, recording, and presenter bios from the January 2021 webinar Collaborative Science in a Virtual World (Part 2): Collaborating Around Multiple Stressors.
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This resource contains the presenter slides, Q&A responses, recording, and presenter bios from the December 2020 webinar Putting 2020 in the Rear View: Understanding the Impact of COVID-19 on Collaborative Research.
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This resource contains the presenter slides, Q&A responses, recording, and presenter bios from the November 2020 webinar Measuring Climate Adaptation Success and Progress: Introduction to the Resilience Metrics Toolkit
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These datasets are from an intensive field sampling in and adjacent to aquaculture operations in North Carolina, concentrating on wild shellfish resources and the physical and chemical environment, to assess ecosystem services and potential impacts of the oyster farms.
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This dataset contains processed Surface Elevation Table data from five reserves along with metadata, R scripts, reports, and figures, illustrating how SET can be processed, analyzed and visualized.
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This data resource includes eDNA sequences, fish species summary tables, and DNA extractions from Wells, Great Bay, Hudson, Apalachicola, South Slough, and Heʻeia National Estuarine Research Reserves.
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This resource contains the presenter slides, Q&A responses, recording, and presenter bios from the October 2020 webinar Decision Support for Siting of Shellfish Aquaculture.
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This resource contains the webinar recording as well as the presenter slides and Q&A responses from the September 2020 webinar Dams and Sediment in the Hudson.
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These five related carbon storage, greenhouse gas flux and environmental variable datasets were generated by the Bringing Wetlands to Market research team and used to develop a coastal wetland greenhouse gas model for New England.